AI Engineer (Mid-Senior)

Norrin is an AI integrator, enabling end-to-end Enterprise AI and data solutions that turn ambition into production and drive real productivity gains. We co-create the solutions, infrastructure, and adoption that make it stick. What brings us together is deep technical expertise, a creative engineering mindset, and a people-first culture. Norrin has strong roots in Finland while operating internationally across the Nordics, the United States, and APAC.

We’re looking for an AI Engineer, or for the right experience a Senior AI Engineer - to join our Applied AI team in Bangkok. In this role you’ll design and build AI solutions ranging from AI agents and large language models (LLMs) to more traditional machine learning systems. You’ll work in an international team of experienced engineers, taking ownership of scalable, business-relevant AI applications while applying modern software engineering and cloud development practices. We value hands-on delivery, strong technical fundamentals, sound judgement and the ability to communicate clearly in a global team. You’ll also be part of Norrin’s AI Guild, a community where you deepen your expertise and share knowledge with peers who are as passionate about AI as you are.

In this role, you will

• Design and build end-to-end AI/ML solutions - agents, RAG systems, ML pipelines and lead the design of the more complex ones as you grow into the role

• Translate business requirements into solution architecture that balances technical feasibility with real business impact

• Develop and improve cloud-native applications (Azure preferred)

• Apply and uphold modern software engineering practices - Python, Git, CI/CD, testing and contribute actively to code reviews and design discussions

• Deploy, monitor, and maintain production AI systems (MLOps)

• Integrate AI solutions with APIs, databases and data platforms

• Mentor less experienced engineers, sharing knowledge and best practices

• Work directly with clients and align expectations across technical and non-technical stakeholders

• Evaluate and champion new tools and practices, supporting presales with technical input and effort estimates

What we’re looking for

• 4+ years’ experience building software, data, or AI/ML solutions, with a track record of delivering and running them in production

• Hands-on experience building AI agents and LLM solutions with common libraries and frameworks

• Strong working knowledge of a major cloud platform and its ML tooling - Azure (Azure ML, AI Foundry) preferred; AWS or GCP equivalents welcome

• Strong skills in Python and solid engineering practice - Git, CI/CD, testing, code quality

• Hands-on MLOps: deploying, monitoring, and maintaining models in production

• Solid grasp of APIs, integrations, databases, and SQL

• Understanding of data engineering principles

• Ability to own delivery end to end, work independently, and guide others

• A clear communicator who can align technical and non-technical stakeholders

• Strong English (written and spoken), as English is the primary working language

• A legal right to work in Thailand or a valid work permit (please note that we cannot provide visa or work permit sponsorship for this position)

• Educational background in computer science, engineering, applied mathematics, or a comparable field (or equivalent practical experience)

Nice to have

• Experience with Docker, Terraform, or other infrastructure-as-code tools

• Familiarity with LLM tooling (e.g. LangGraph, Azure AI Foundry)

• Familiarity with ML tooling (e.g. Pandas, NumPy, Azure AI Services)

• Experience with data platforms such as Databricks or Microsoft Fabric

• Full-stack or non-ML application development experience

• Experience working in international or consulting-style environments

Why Norrin?

At Norrin, you'll join an international team of 220 professionals working across Finland, Sweden, Thailand, Vietnam, and the United States. We work with Nordic enterprises that have the ambition to be the forerunners in data and AI across a wide range of industries, from industrial and finance to retail and energy. The diversity of projects, technologies, and business chall